Deep learning for drug repurposing: Methods, databases, and applications-Reference-Cited by-同舟云学术

Deep learning for drug repurposing: Methods, databases, and applications

Published:2022-02-08 Issue:4 Volume:12 Page:
ISSN:1759-0876
Container-title:WIREs Computational Molecular Science
language:en
Short-container-title:WIREs Comput Mol Sci

Author:

Pan Xiaoqin¹^ORCID,Lin Xuan²³^ORCID,Cao Dongsheng⁴^ORCID,Zeng Xiangxiang¹^ORCID,Yu Philip S.⁵^ORCID,He Lifang⁶^ORCID,Nussinov Ruth⁷⁸^ORCID,Cheng Feixiong⁹¹⁰¹¹^ORCID

Affiliation:

1. School of Computer Science and Engineering Hunan University Changsha Hunan China

2. School of Computer Science Xiangtan University Xiangtan China

3. Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Xiangtan China

4. Xiangya School of Pharmaceutical Sciences Central South University Changsha China

5. Department of Computer Science University of Illinois at Chicago Chicago Illinois USA

6. Department of Computer Science and Engineering Lehigh University Bethlehem Pennsylvania USA

7. Computational Structural Biology Section, Basic Science Program, Frederick National Laboratory for Cancer Research National Cancer Institute at Frederick Frederick Maryland USA

8. Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine Tel Aviv University Tel Aviv Israel

9. Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic Cleveland Ohio USA

10. Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine Case Western Reserve University Cleveland Ohio USA

11. Case Comprehensive Cancer Center Case Western Reserve University School of Medicine Cleveland Ohio USA

Publisher

Wiley

Subject

Materials Chemistry,Computational Mathematics,Physical and Theoretical Chemistry,Computer Science Applications,Biochemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/wcms.1597

Reference145 articles.

1. Protein localization vector propagation: a method for improving the accuracy of drug repositioning

2. Artificial intelligence in COVID-19 drug repurposing

3. A network medicine approach to investigation and population-based validation of disease manifestations and drug repurposing for COVID-19

4. Confined small-sized cobalt catalysts stimulate carbon-chain growth reversely by modifying ASF law of Fischer–Tropsch synthesis

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